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Working with data has become the main task for modern software - both for standalone and network applications. To solve this problem a specialized software were created. These are Database Management Systems (DBMS), that can structure, systematize and organize data for their computer storage and processing. As for trading, the most of analysts don't use databases in their work. But there are tasks, where such a solution would have to be handy. This article provides an example of indicators, that can save and load data from databases both with client-server and file-server architectures.
This article's objective is to study profitability of algorithms with different entries into trades and exits using trailing stop. Entry types to be used are random entry and reverse entry. Stop orders to be used are trailing stop and trailing take. The article demonstrates money-making algorithms with a profitability of about 30% per annum.
The article describes the development of an interface between MQL and the MySQL database. It discusses existing practical solutions and offers a more convenient way to implement a library for working with databases. The article contains a detailed description of the functions, the interface structure, examples and some of specific features of working with MySQL. As for the software solutions, the article attachments include the files of dynamic libraries, documentation and script examples for the MQL4 and MQL5 languages.
